An SDK that allows AI agents to delegate workflows to the visible ChatGPT web interface, enabling structured interaction with Chat and Work experiences via a browser bridge.

A tool that proxies your Mac or Linux terminal into a web browser, enabling remote access to command-line tools and AI agents without complex SSH setups.

A high-performance numerical solver suite for a wide variety of differential equations, supporting scientific machine learning and GPU acceleration.

A modular Python library for t-SNE dimensionality reduction that scales to millions of data points for high-dimensional data visualization.

An open-source compiler that translates CUDA, HIP, and Triton kernels into binaries for AMD, NVIDIA, and Tenstorrent GPUs, as well as x86-64 CPUs.

A Python codebase implementing MLOps best practices and a professional toolchain to support the development of model registries, experiment tracking, and inference platforms.

A clock-driven Python simulator for spiking neural networks designed to help scientists efficiently model biological neural activity.

A local control center for Codex Desktop that enables the integration of third-party AI models, official GPT account pooling, and intelligent agent routing.

A CUDA memory management library that provides a common interface and multiple allocation strategies to optimize device and host memory usage in GPU workflows.

A floating dev-menu toolkit for React Native and Flutter that integrates debugging tools directly into the app and provides an MCP server for AI agents to interact with the live runtime.

A Python-based automation stack that enables the creation of automation tasks and AI Actions to interact with web browsers, Windows apps, and data files.

A CLI tool that connects AI Agents to a real Chrome browser session, allowing them to reuse login states and perform precise page control and perception.

A PyTorch-based toolbox for conformal prediction in deep learning, providing guaranteed uncertainty quantification for classification, regression, GNNs, and LLMs.

A deterministic safety guard for AI coding agents that blocks catastrophic tool calls like filesystem deletion and secret theft without using an LLM.

A self-hosted web UI for the Qdrant Vector Search Engine that allows users to easily view and manage their vector collections.

A Bayesian optimization framework for real-world experimental design, featuring specialized support for chemical and pharmaceutical optimization and LLM-guided candidate proposals.

A GPU-accelerated library for lattice QCD calculations, providing optimized Dirac operators and solvers for various fermion actions on NVIDIA hardware.

A browser control plugin for AI agents that enables direct Chrome navigation and interaction via the Chrome DevTools Protocol, available as a CLI tool or an MCP server.

A lexicon for the Sudachi Japanese tokenizer that provides various dictionary sizes for accurate word segmentation and morphological analysis.

An intelligent terminal assistant for tmux that observes pane content and executes commands to act as a context-aware pair programmer.

An MCP server that enables AI assistants to interact with Argo CD applications through natural language, providing a comprehensive set of tools for cluster and application management.

A local analytics dashboard that unifies conversation history, token costs, and usage patterns from 17 different AI coding editors into one place.

A durable, versioned workspace provider for disposable AI agent sandboxes that ensures artifact lineage and state survival through atomic metadata control.

A local desktop app for browsing and editing the conversation history of AI coding assistants to fix hallucinations and manage sessions across multiple platforms.

An agentic security auditing framework that finds vulnerabilities by deriving security properties from natural-language specifications and verifying if the code proves those invariants.

An AI-powered open-source recommender system engine written in Go that automatically trains models to provide personalized recommendations for users.

An open-source SDK for AI agent safety that blocks prompt injections, redacts sensitive data, and scans repositories for AI-targeted threats.

A Redis module that adds full-text search, secondary indexing, and vector similarity search to Redis, enabling high-performance querying of database records.

A cross-platform C# library based on llama.cpp that allows developers to run LLaMA and other LLMs locally on CPU and GPU with high-level APIs.

A TensorRT backend for ONNX that parses ONNX models for high-performance execution on NVIDIA GPUs.

A scalable framework for extracting text, tables, charts, and infographics from documents to power high-performance RAG and generative AI applications.

A collection of example programs and libraries for MLX Swift, demonstrating how to build LLM, VLM, and image generation apps on iOS and macOS.

An open-source Python library that provides model compression and quantization techniques for PyTorch, TensorFlow, and JAX models to improve inference efficiency.

A Python package that provides metrics and algorithms to assess and mitigate unfairness and bias in AI systems.

A minimal, dependency-free C library for training and using feedforward artificial neural networks with support for backpropagation and alternative optimization methods.

A peer-to-peer verified intelligence network for Bittensor that uses zero-knowledge machine learning (zk-ML) to provide cryptographic Proof-of-Inference for AI model predictions.

A framework for developing AI agents for Atari 2600 games, providing a standardized interface between the Stella emulator and agent design.

A containerized AI development workstation that bundles Claude Code, a web UI, and a comprehensive suite of AI CLIs and dev tools for instant deployment.

A general-purpose probabilistic programming package for Bayesian and likelihood-based inference implemented in Julia.

A high-performance distributed storage stack tailored for AI workloads, providing linear scalability and optimized data retrieval for ML pipelines across multi-cloud environments.

MLJ is a machine learning toolbox for Julia that provides a common interface and meta-algorithms for selecting, tuning, and comparing over 200 machine learning models.

A cross-platform MCP Host desktop application that integrates LLMs with external tools and data sources using the Model Context Protocol.

A source-to-source automatic differentiation system for Julia that enables the calculation of gradients for complex functions and machine learning models.

An enterprise-grade AI open platform that provides a centralized marketplace to manage, distribute, and monitor AI resources like LLMs, Agents, and MCP Servers.

An MCP server that reduces AI coding agent token usage by providing structural code navigation, persistent memory, and Bash command rewriting.

An AI-based debugging assistant for C/C++/Python/Rust that integrates with pdb, lldb, and gdb to perform automated root cause analysis and suggest fixes.

An Apple MLX-based LLM engine for LM Studio that enables optimized local inference of text and vision models on macOS.

A PyTorch-native library for decoding and encoding videos, audio, and images directly into tensors for ML training and inference.